A quality inspection system applied to fiber cloth
By combining fan and image processing technology with a semantic segmentation model, the automatic identification and report generation of defects in fiber fabrics is achieved, solving the problems of low efficiency and poor accuracy in fiber fabric detection, and realizing efficient and accurate defect detection.
CN119406772BActive Publication Date: 2026-08-18HANGZHOU LIANYU FIBER CO LTD
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Patent Information
- Application Number
- CN202411236195.X
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2024-09-04
- Publication Date
- 2026-08-18
- Estimated Expiration
- 2044-09-04
AI Technical Summary
Technical Problem
In current fiber fabric production, quality inspection efficiency is low, manual inspection is cumbersome and prone to omissions, and it is difficult to detect surface defects in large batches.
Method used
By employing a fan, image acquisition module, defect recognition module, foreign object type analysis module, and defect marking module, combined with semantic segmentation model and image processing technology, the system achieves automatic defect recognition and report generation.
Benefits of technology
It has achieved full automation of fiber fabric inspection, improved inspection efficiency and accuracy, and can automatically analyze the types of foreign objects, providing support for production improvement.
✦ Generated by Eureka AI based on patent content.
Abstract
The application provides a quality inspection system applied to fiber cloth, which is characterized by comprising a fan, a database, an image acquisition module, a flaw identification module, an alien object type analysis module and a flaw marking module.
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